VirtualEnaction -一个系统神经科学仿真平台

Nicolas Denoyelle, Florian Pouget, T. Viéville, F. Alexandre
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引用次数: 3

摘要

考虑到作为一个整体的大脑系统模型的实验研究(与一个大脑区域或方面的模型相比),确实需要设计出能够真实地模拟这些模型并对其进行实验的工具。我们在这里解释为什么机器人设置不一定是最佳选择,以及这种基准测试平台的一般要求是什么。更进一步,我们描述了一种有效的解决方案,可以在网上免费获得,并且已经用于验证大脑的功能模型。这个解决方案是一个数字平台,在这个平台上,实现要研究的模型的智能机器人被嵌入到一个简化但现实的受控环境中。从视觉、触觉和嗅觉输入,到身体、手臂和眼睛的运动指令,以及重要的躯体感知线索,复杂的生存行为都可以进行实验。该平台还补充了算法高级认知模块,使构建生物学上合理的机器人的工作更容易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VirtualEnaction - A Platform for Systemic Neuroscience Simulation
Considering the experimental study of systemic models of the brain as a whole (in contrast to models of one brain area or aspect), there is a real need for tools designed to realistically simulate these models and to experiment them. We explain here why a robotic setup is not necessarily the best choice, and what are the general requirements for such a bench-marking platform. A step further, we describe an effective solution, freely available on line and already in use to validate functional models of the brain. This solution is a digital platform where the brainy-bot implementing the model to study is embedded in a simplified but realistic controlled environment. From visual, tactile and olfactory input, to body, arm and eye motor command, in addition to vital somesthetic cues, complex survival behaviors can be experimented. The platform is also complemented with algorithmic high-level cognitive modules, making the job of building biologically plausible bots easier.
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